alu/tra-analysis
1
0
Fork 0
mirror of https://github.com/titanscouting/tra-analysis.git synced 2024-12-26 01:29:10 +00:00
Code Issues Packages Projects Releases Wiki Activity

maybe working

Browse Source
This commit is contained in:
Dev Singh 2020-03-06 11:27:32 -06:00
parent 2fa0d75a30
commit 548668e2a4
2 changed files with 17 additions and 16 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
data analysis/config.csv
View File

@ -1,9 +1,11 @@
2020ilch
balls-blocked,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
balls-collected,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
balls-lower,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
balls-lower-teleop,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
balls-lower-auto,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
balls-started,basic_stats,historical_analyss,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
balls-upper,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
balls-upper-teleop,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
balls-upper-auto,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
wheel-mechanism
low-balls
high-balls

1 2020ilch
2 balls-blocked,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
3 balls-collected,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
4 balls-lower,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal balls-lower-teleop,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
5 balls-lower-auto,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
6 balls-started,basic_stats,historical_analyss,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
7 balls-upper,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal balls-upper-teleop,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
8 balls-upper-auto,basic_stats,historical_analysis,regression_linear,regression_logarithmic,regression_exponential,regression_polynomial,regression_sigmoidal
9 wheel-mechanism
10 low-balls
11 high-balls

27
data analysis/superscript.py
View File

@ -114,7 +114,7 @@ def main():
print(" finished tests")
print(" running metrics")
metrics = metricsloop(tbakey, apikey, competition, previous_time)
metricsloop(tbakey, apikey, competition, previous_time)
print(" finished metrics")
print(" running pit analysis")
@ -176,16 +176,12 @@ def simplestats(data, test):
if(test == "regression_sigmoidal"):
return an.regression(list(range(len(data))), data, ['sig'])
def push_to_database(apikey, competition, results, metrics, pit):
def push_to_database(apikey, competition, results, pit):
for team in results:
d.push_team_tests_data(apikey, competition, team, results[team])
for team in temp_vector:
d.push_team_metrics_data(apikey, competition, team, temp_vector[team])
for variable in pit:
d.push_team_pit_data(apikey, competition, variable, pit[variable])
@ -202,11 +198,11 @@ def metricsloop(tbakey, apikey, competition, timestamp): # listener based metric
red = {}
blu = {}
red = load_metrics(apikey, competition, match, "red")
blu = load_metrics(apikey, competition, match, "blue")
for match in matches:
red = load_metrics(apikey, competition, match, "red")
blu = load_metrics(apikey, competition, match, "blue")
elo_red_total = 0
elo_blu_total = 0
@ -279,6 +275,14 @@ def metricsloop(tbakey, apikey, competition, timestamp): # listener based metric
blu[team]["gl2"]["rd"] = blu[team]["gl2"]["rd"] + blu_gl2_delta["rd"]
blu[team]["gl2"]["vol"] = blu[team]["gl2"]["vol"] + blu_gl2_delta["vol"]
temp_vector = {}
temp_vector.update(red)
temp_vector.update(blu)
for team in temp_vector:
d.push_team_metrics_data(apikey, competition, team, temp_vector[team])
""" not functional for now
red_trueskill = []
blu_trueskill = []
@ -305,11 +309,6 @@ def metricsloop(tbakey, apikey, competition, timestamp): # listener based metric
"""
return_vector.update(red)
return_vector.update(blue)
return return_vector
def load_metrics(apikey, competition, match, group_name):
group = {}